#182 · Primary category: Computer Vision

caer

ai artificial-intelligence augmentation caer computer-vision cuda data-science deep-learning gpu image-classification image-processing image-segmentation machine-learning neural-network opencv python segmentation type-checking video-processing vision

High-performance Vision library in Python. Scale your research, not boilerplate.

Project last updated:08/24/26

GitHub Stars

816

Forks

109

Contributors

8

License

MIT

Why we included this project

Caer is a Python vision library that wraps common image and video operations in a type-checked API, so researchers and students can build a working pipeline without writing the usual glue code. It handles GPU-accelerated preprocessing, colorspace conversions, and augmentations, and it ships sample test images and example data that make quick experiments and classroom demos easy. Teams that already know OpenCV may find it a lighter option for prototyping, especially when they want to push heavy image work onto the GPU. The point is to spend less time on plumbing and more on the vision model itself.

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